NVIDIA H200 SXM vs NVIDIA RTX PRO 6000 — GPU Comparison (Apr 2026)
NVIDIA H200 SXM (141GB HBM3e, 990 TFLOPS FP16, Hopper) vs NVIDIA RTX PRO 6000 (96GB GDDR7, 252 TFLOPS FP16, Blackwell). Cloud pricing: NVIDIA H200 SXM from $2.05/hr, NVIDIA RTX PRO 6000 from $1.71/hr. Compare specs, VRAM, performance, and pricing across 4 cloud providers to find the best GPU for your AI workload.
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NVIDIA H200 SXM
141GB HBM3e · Hopper
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NVIDIA RTX PRO 6000
96GB GDDR7 · Blackwell
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Hopper | Blackwell | |
| VRAM | 141 GB HBM3e | 96 GB GDDR7 | |
| Memory Bandwidth | 4,800 GB/s | 1,792 GB/s | |
| FP16 (Tensor) | 990.0 TFLOPS | 252.0 TFLOPS | |
| FP32 | 67.0 TFLOPS | 125.0 TFLOPS | |
| TDP | 700W | 600W | |
| Release Year | 2024 | 2025 | |
| Segment | Data center | Professional | |
| Best For | Large model training inference for 70B+ parameter models | Professional AI development large model fine-tuning visualization | |
| Cloud Pricing | |||
| Cheapest On-Demand | $2.05/hr | $1.71/hr | |
| Cheapest Spot | $3.59/hr | $1.69/hr | |
| Providers | 3 | 2 | |
| Provider Pricing (On-Demand) | |||
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$2.05/hr | N/A | |
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$3.44/hr | N/A | |
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$3.59/hr | $1.89/hr | |
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N/A | $1.71/hr | |
NVIDIA H200 SXM
NVIDIA RTX PRO 6000
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Latitude.sh vs RunPod vs Vast.ai - GPU Provider Comparison (April 2026)
Side-by-side comparison of Latitude.sh vs RunPod vs Vast.ai. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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Vast.ai
Instant GPUs. Transparent Pricing.
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.7 | 3.7 | 4.4 |
| Headquarters | Brazil | United States | United States |
| Provider Type | Bare Metal | GPU-Focused | GPU Marketplace |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI |
| GPU Hardware | |||
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 |
| Max VRAM (GB) | 96 | 288 | 192 |
| Max GPUs/Instance | 8 | 8 | 8 |
| Interconnect | NVLink | NVLink | NVLink, InfiniBand |
| Pricing | |||
| Starting Price ($/hr) | $0.35/hr | $0.06/hr | $0.06/hr |
| Billing Granularity | Per-hour | Per-second | Per-second |
| Spot/Preemptible | No | Yes | Yes |
| Reserved Discounts | N/A | 15-29% (1-month to 1-year plans) | Up to 50% (1-6 month reserved) |
| Free Credits | $200 via referral program | $5-$500 bonus after first $10 spend | Small test credit on signup |
| Egress Fees | None | None (Free) | Varies by host ($/TB) |
| Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) | Varies by host ($/GB/hr, charged while instance exists) |
| Infrastructure | |||
| Regions | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 31 global regions | 500+ locations, 40+ data centers |
| Uptime SLA | 99.9% | 99.99% | No formal SLA (host reliability scores visible) |
| Developer Experience | |||
| Frameworks | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow JAX ONNX CUDA | PyTorch TensorFlow CUDA vLLM ComfyUI |
| Docker Support | Yes | Yes | Yes |
| SSH Access | Yes | Yes | Yes |
| Jupyter Notebooks | No | Yes | Yes |
| API / CLI | Yes | Yes | Yes |
| Setup Time | Seconds | Instant | Seconds |
| Kubernetes Support | No | No | No |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | Single-tenant isolation DPA available | SOC 2 Type II | SOC 2 Type 2 HIPAA GDPR CCPA |
Latitude.sh
RunPod
Vast.ai
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